Senior Data Scientist

Hewlett Packard Enterprise Development LP; Bengaluru; On-site; INR 4,000,000 - 6,500,000; Full time

Benefits offered by this job

Health & Wellbeing

Personal & Professional Development

Unconditional Inclusion

Job summary

Hewlett Packard Enterprise Development LP in Bengaluru, Karnataka, India, is seeking a Senior Data Scientist to work onsite with Aruba and apply machine learning to network data. You will own AI Insight modules, validate telemetry, and scale ML code for global production.

Strong Python, Spark, and ML fundamentals are required, along with Gen AI expertise and crisp technical communication. The role demands 4–10 years of experience, a data-focused degree, and familiarity with NoSQL, Kubernetes,

Qualifications

• Bachelor's degree in Computer Science or another data-oriented discipline.
• 4–10 years of industry experience as data scientist.
• Expert Python coder with strong ML and data processing skills.
• Hands-on experience with ML algorithms and descriptive statistics.
• Deep understanding of Gen AI, LLMs and fine-tuning.

Responsibilities

• Collaborate with data scientists and domain experts to apply ML on wireless and wired network data.
• Own and evolve AI Insight modules in Aruba Central per customer needs.
• Validate telemetry data and uncover structured insights.
• Scale ML code to run reliably in global production environments.
• Monitor deployed ML modules for performance and reliability.

Skills

Python

Apache Spark

Data structures

Algorithms

Machine learning

Gen AI / LLMs

Agentic AI

Technical communication

NoSQL databases

Kubernetes

Docker

Git

Maven

Statistics

Education

Bachelor's degree in Computer Science or data-oriented discipline

Tools

Apache Spark

Job description

## Senior Data ScientistApplylocations: Bengaluru, Karnātaka, Indiatime type: Full timeposted on: Posted 30+ Days Agojob requisition id: 1200810Senior Data ScientistThis role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.**Who We Are:**Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.**Job Description:****Aruba** is an HPE Company, and a leading provider of next-generation network access solutions for the mobile enterprise. Helping some the largest companies in the world modernize their networks to meet the demands of a digital future, Aruba is redefining the “Intelligent Edge” – and creating new customer experiences across intelligent spaces and digital workspaces. Join us redefine what’s next for you.**What You'll Do*** Work with experienced data scientists and domain experts to apply machine learning algorithms to wireless and wired network data* Take ownership of existing AI Insight modules in Aruba Central and evolve them according to customer needs* Validate telemetry data from customer networks and find relevant structure that reveals insights* Scale machine learning code to run reliably in worldwide production environments* Monitor deployed machine learning modules**What you need to bring:** **Our Minimum Requirements for this role are*** Bachelor's degree in Computer Science, or another data-oriented discipline* Four to Ten years industry experience as data scientist* Expert **python** coder* Fluent user of Apache Spark* Working knowledge of data structures (array, maps, trees, stacks, queues) and algorithms (recursion, dynamic programming, backtracking)* Working knowledge of machine learning algorithms (linear regression, decision trees, random forests, clustering, anomaly detection)* Descriptive statistics (central tendency, variability, distribution)* Gen AI - Deep understanding of LLMs and fine-tuning LLMs* Agentic AI* Clear technical communication* Ability and willingness to learn quickly**Additional preferred skills*** Familiar with NoSQL databases, preferably Cassandra* Familiar with Kubernetes, Docker, Git, Maven* Statistical inference (hypothesis testing, estimation with confidence intervals, Bayesian inference).**Additional Skills:**Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)**What We Can Offer You:****Health & Wellbeing**We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.**Personal & Professional Development**We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.**Unconditional Inclusion**We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.**Let's Stay Connected:**Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.#india### ### #aruba**Job:**Engineering**Job Level:**TCP\_04 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.**Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.**HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.**No Fees Notice & Recruitment Fraud Disclaimer***It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.* *Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors **will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.**The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.*